GPU and CPU

CPU

The central processing unit, or CPU, is a silicon chip that is affixed to a motherboard socket and is frequently referred to as the "brains" of a device. The central processing unit (CPU) is the brains of a computer. It uses billions of tiny transistors to carry out software instructions and system memory to execute program instructions. It converts jobs into 0s and 1s, much like having billions of on-off switches to regulate the flow of power.

The majority of contemporary processors can perform one to five billion operations per second. RAM allows memory to be accessed out of order, which is why random access memory is random. Normally, memory is retrieved from RAM in order. Getting instructions out of random access memory, or RAM, then decoding and executing them is the central job of the CPU. They carry out operations sequentially, that is, one after the other.

GPU

The part of the computer that renders images and videos is called a GPU, sometimes referred to as a graphics card or video card. They can be connected to the motherboard (integrated) and share memory with the CPU, or they can be discrete—independent from the motherboard and having their own memory (vRAM). Because integrated GPUs are smaller and share resources with the CPU, their performance is usually lower than that of discrete GPUs.

Having the CPU handle everything started to hinder performance as computers' capacity to execute 3D graphics and other demanding workloads increased. To manage a portion of the load, a specialized microprocessor became necessary. A GPU is very useful for multitasking and functions similarly to a specialized CPU. Actually, CPUs used to do the same function as GPUs do now.

With a GPU, tasks are divided up and executed in parallel as opposed to being processed serially (in sequence) like with a CPU. Despite being smaller, GPUs have a lot more cores than CPUs. While CPUs are more constrained since it is a more complex calculation, GPUs with multiple cores are able to perform many more mathematical and geographic calculations simultaneously with more efficiency.